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Horizontal displacement monitoring method of deep foundation pit based on laser image recognition technology.
Liu, Peng; Xie, Shulin; Zhou, Guangyi; Zhang, Lixiao; Zhang, Guoxian; Zhao, Xuefeng.
Affiliation
  • Liu P; State Key Laboratory of Coastal and Offshore Engineering, School of Civil Engineering, Dalian University of Technology, 116024 Dalian, China.
  • Xie S; State Key Laboratory of Coastal and Offshore Engineering, School of Civil Engineering, Dalian University of Technology, 116024 Dalian, China.
  • Zhou G; Northeast Branch China Construction Eighth Engineering Division Corp., Ltd., 116000 Dalian, China.
  • Zhang L; State Key Laboratory of Coastal and Offshore Engineering, School of Civil Engineering, Dalian University of Technology, 116024 Dalian, China.
  • Zhang G; Northeast Branch China Construction Eighth Engineering Division Corp., Ltd., 116000 Dalian, China.
  • Zhao X; State Key Laboratory of Coastal and Offshore Engineering, School of Civil Engineering, Dalian University of Technology, 116024 Dalian, China.
Rev Sci Instrum ; 89(12): 125006, 2018 Dec.
Article in En | MEDLINE | ID: mdl-30599627
Currently, inclinometers are often used to monitor the horizontal displacement of deep foundation pits; however, this method generally has a high cost and complex operation and cannot monitor in real time. In this paper, a novel monitoring method for horizontal displacement of deep foundation pits based on laser image recognition technology is proposed. By identifying the displacement of the spot produced by the laser emitter fixed at the monitoring point, the displacement of the deep foundation pit is determined. In addition, the impact of the angle is considered and eliminated. A series of experimental results indicate that this method exhibits high precision and satisfies the requirements of practical engineering. Simultaneously, it exhibits the advantages of low cost, easy operation, and real-time monitoring. It provides a novel method for the displacement monitoring of deep foundation pits.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Rev Sci Instrum Year: 2018 Document type: Article Affiliation country: China Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Rev Sci Instrum Year: 2018 Document type: Article Affiliation country: China Country of publication: United States